Sign Up to like & get
recommendations!
0
Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.04.078
Abstract: Abstract Ensemble clustering has emerged as a powerful tool for improving the stability and accuracy of the clustering task. Although various approaches have been proposed for improving the performance of algorithms, most of them ignored…
read more here.
Keywords:
method;
based dense;
clustering based;
dense representation ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2020 at "Powder Technology"
DOI: 10.1016/j.powtec.2019.09.050
Abstract: Abstract In order to improve the cement use efficiency, a concept of reverse filling is proposed and applied to formulate a binary system of limestone powder-superfine Portland cement based on dense packing. The compressive packing…
read more here.
Keywords:
portland cement;
reverse filling;
superfine portland;
cement ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "Applied optics"
DOI: 10.1364/ao.444910
Abstract: For full-waveform (FW) LiDAR signals, conventional echo decomposition methods use complicated filtering or de-noising algorithms for signal pre-processing. However, the speed and accuracy of these algorithms are limited. In this paper, we study a highly…
read more here.
Keywords:
decomposition;
echo decomposition;
waveform lidar;
full waveform ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2018 at "Computer Optics"
DOI: 10.18287/2412-6179-2018-42-3-476-482
Abstract: In this paper, we propose abnormal behavior detection algorithms based on dense trajectories and principal components for video surveillance applications. The result shows that the proposed algorithms are faster than an algorithm based on lengths…
read more here.
Keywords:
abnormal behavior;
behavior detection;
dense trajectories;
based dense ... See more keywords